Objective: In this article, we describe how we developed and validated key performance indicators (KPIs) for pre-hospital blood transfusion and offer suggestions for other organisations wishing to develop performance metrics.
Background: KPIs are metrics that compare actual care against an ideal structure, process or outcome standard. An increasing number of UK-based pre-hospital critical care services now carry blood components to enable pre-hospital blood transfusion.
Methods: A working group of pre-hospital physicians and paramedics was formed to create and validate performance indicators that reflected a high-quality pre-hospital transfusion. This was performed by literature searching and reviewing consensus documents that guide the best practice and then adjusting the indicators as the process evolved.
Results: Throughout the year, the performance against the domains was monitored monthly and outputs communicated within the clinical staff of the organisation; at the end of the year, the domains were amended. The final list of performance indicators was as follows: (a) rationale for transfusion documented in the notes; (b) rationale for transfusion in line with Thames Valley Air Ambulance blood transfusion guideline; (c) aggressive management of hypothermia; (d) tranexamic acid administered within an hour of injury; (e) evidence of bleeding in hospital; (f) monitoring of adverse effects of blood transfusion; (g) overall-was the use of blood justified; and (h) no units wasted this month.
Conclusions: This study has shown that it is feasible to devise and implement clinical performance indicators for pre-hospital blood transfusion and that their use has increased the focus on this important area.
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http://dx.doi.org/10.1111/tme.12668 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
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Graduate School of Life and Environmental Sciences, Integrated Graduate School of Medicine, Engineering, and Agricultural Sciences, University of Yamanashi, 400-8510 Kofu, Japan.
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Atopic dermatitis (AD) is a common chronic inflammatory skin disorder globally. Crisaborole, a nonsteroidal topical phosphodiesterase 4 inhibitor (PDE4i), has been utilized in treating AD. Crisaborole regulates the production of inflammatory cytokines, which are usually overactive among AD patients.
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